• DocumentCode
    1894866
  • Title

    The method for soil moisture inversion based on ground-based scattering measurement

  • Author

    Qiu, Chengqiang ; Chen, Yan ; Tong, Ling ; Jia, Mingquan ; Pang, Shaofeng

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    3086
  • Lastpage
    3088
  • Abstract
    With the ENVISAT-ASAR Alternating Polarisation mode and the parameter sets of HJ-IC-SAR as the research foundation, using the measurement data by multi-wave bands and multi-polarization ground-based scatterometer, the paper studies an inversion method of bare-surface soil moisture. The studies simultaneously consider the influence which include root-mean-square height S and correlation length L in this method, and combine the two roughness parameters, expressed as a combination of roughness Zs. Using Integral Equation Model (IEM) to analysis the relationship between Zs in different incident angles and the difference of the backscattering coefficients under two wavelengths, establishes the multinomial semi-empirical model for soil moisture inversion under different angles. The model´s validation is conformed by the ground-based scattering datas, the results show that, for the medium and low roughness of the bare surface, the error is smaller than 15 percent between inversion value with the model and the measured soil moisture.
  • Keywords
    moisture measurement; remote sensing by radar; soil; synthetic aperture radar; ENVISAT ASAR Alternating Polarisation mode; HJ-IC-SAR parameter; Integral Equation Model; backscattering coefficient; correlation length; ground based scattering measurement; multinomial semiempirical model; roughness parameter; soil moisture inversion; Backscatter; Data models; Mathematical model; Moisture measurement; Soil measurements; Soil moisture; Surface roughness; combination roughness; inversion; multi-band; soil moisture; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049870
  • Filename
    6049870